{"id":178,"date":"2025-06-15T08:42:58","date_gmt":"2025-06-15T16:42:58","guid":{"rendered":"https:\/\/official.chatgptonline.top\/?p=178"},"modified":"2025-06-20T08:12:13","modified_gmt":"2025-06-20T16:12:13","slug":"openai-o3-pro","status":"publish","type":"post","link":"https:\/\/51ai.website\/en\/news\/openai-o3-pro\/","title":{"rendered":"OpenAI's new inference king, o3 - pro, is really strong and really slow!"},"content":{"rendered":"

OpenAI is at it again, this time with the awesome inference model o3-pro!<\/p>\n\n\n\n

First of all, let's talk about its advantages, in the scientific analysis, writing, programming and data analysis of these scenarios, o3 - pro than o3 performance increased by about 14% \u5462, the performance of processing complex reasoning tasks beyond the color, the environment perception is also superb, properly suitable for professional users! \ud83d\udc4d<\/p>\n\n\n\n

However, it does have its drawbacks. The performance improvement in the ARC - AGI - 2 test is not significant, but the cost has increased dramatically. And its reasoning is so slow that it's not suitable for simple problems. \ud83d\ude05<\/p>\n\n\n\n

Its input cost is $20 per million tokens and its output cost is $80 per million tokens.<\/p>\n\n\n\n

Have you already used o3 - pro? Come and share your experience with us in the comments section! \ud83d\ude4b\u200d
Here are some popular hashtags and keywords based on copywriting content:
#OpenAI #o3 - pro # Reasoning Model #AI New Developments # Model Assessment<\/p>\n\n\n\n

OpenAI releases new king of inference o3-pro, netizens test it: very strong and very slow<\/a><\/p>\n\n\n\n

\"\"<\/figure>","protected":false},"excerpt":{"rendered":"

OpenAI \u53c8\u6709\u65b0\u52a8\u4f5c\u5566\uff0c\u8fd9\u6b21\u63a8\u51fa\u4e86\u8d85\u5389\u5bb3\u7684\u63a8\u7406\u6a21\u578b o3 – pro\uff01\ud83d\udc4f \u5148\u8bf4\u8bf4\u5b83\u7684\u4f18\u70b9\uff0c\u5728\u79d1 […]<\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"wp-custom-template","format":"standard","meta":{"_acf_changed":false,"_crdt_document":"","_uag_custom_page_level_css":"","footnotes":""},"categories":[7],"tags":[],"class_list":["post-178","post","type-post","status-publish","format-standard","hentry","category-news"],"acf":[],"views":346,"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"trp-custom-language-flag":false},"uagb_author_info":{"display_name":"stark, tony","author_link":"https:\/\/51ai.website\/en\/author\/admin\/"},"uagb_comment_info":5,"uagb_excerpt":"OpenAI \u53c8\u6709\u65b0\u52a8\u4f5c\u5566\uff0c\u8fd9\u6b21\u63a8\u51fa\u4e86\u8d85\u5389\u5bb3\u7684\u63a8\u7406\u6a21\u578b o3 – pro\uff01\ud83d\udc4f \u5148\u8bf4\u8bf4\u5b83\u7684\u4f18\u70b9\uff0c\u5728\u79d1…","_links":{"self":[{"href":"https:\/\/51ai.website\/en\/wp-json\/wp\/v2\/posts\/178","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/51ai.website\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/51ai.website\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/51ai.website\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/51ai.website\/en\/wp-json\/wp\/v2\/comments?post=178"}],"version-history":[{"count":3,"href":"https:\/\/51ai.website\/en\/wp-json\/wp\/v2\/posts\/178\/revisions"}],"predecessor-version":[{"id":213,"href":"https:\/\/51ai.website\/en\/wp-json\/wp\/v2\/posts\/178\/revisions\/213"}],"wp:attachment":[{"href":"https:\/\/51ai.website\/en\/wp-json\/wp\/v2\/media?parent=178"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/51ai.website\/en\/wp-json\/wp\/v2\/categories?post=178"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/51ai.website\/en\/wp-json\/wp\/v2\/tags?post=178"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}